Table of Content

Open Access iconOpen Access

ARTICLE

General distance transformation for the numerical evaluation of nearly singular integrals in BEM

J.H. Lv1, Y. Miao1,2, H.P. Zhu1

School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
Corresponding Author. Tel: +86 27 87559534; Fax: +86 27 87542231; Y. Miao Email: my_miaoyu@163.com

Computer Modeling in Engineering & Sciences 2013, 91(2), 101-117. https://doi.org/10.3970/cmes.2013.091.101

Abstract

The accurate and efficient evaluation of nearly singular integrals is one of the major concerned problems in the implementation of the boundary element method (BEM). Among the various commonly used nonlinear transformation methods, the distance transformation technique seems to be a promising method to deal with various orders of nearly singular integrals both in potential and elasticity problems. In this paper, some drawbacks of the conventional distance transformation, such as the sensitivity to the position of projection point, are investigated by numerical tests. A general distance transformation technique is developed to circumvent these drawbacks, which is aimed to remove or weaken the limitations of the projection point. Several numerical examples are presented for both straight and curved line elements to validate the accuracy and efficiency of presented method.

Keywords


Cite This Article

APA Style
Lv, J., Miao, Y., Zhu, H. (2013). General distance transformation for the numerical evaluation of nearly singular integrals in BEM. Computer Modeling in Engineering & Sciences, 91(2), 101-117. https://doi.org/10.3970/cmes.2013.091.101
Vancouver Style
Lv J, Miao Y, Zhu H. General distance transformation for the numerical evaluation of nearly singular integrals in BEM. Comput Model Eng Sci. 2013;91(2):101-117 https://doi.org/10.3970/cmes.2013.091.101
IEEE Style
J. Lv, Y. Miao, and H. Zhu "General distance transformation for the numerical evaluation of nearly singular integrals in BEM," Comput. Model. Eng. Sci., vol. 91, no. 2, pp. 101-117. 2013. https://doi.org/10.3970/cmes.2013.091.101



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1184

    View

  • 869

    Download

  • 0

    Like

Share Link